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dc.contributor.authorDasgupta, Mani Sankar-
dc.date.accessioned2023-09-01T09:32:42Z-
dc.date.available2023-09-01T09:32:42Z-
dc.date.issued2014-
dc.identifier.urihttps://ieeexplore.ieee.org/document/7030518-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11800-
dc.description.abstractIn this paper, a novel approach for human presence detection from digital image is presented. This approach is based on combined clue from skin colour and minor motion detection. For skin colour detection, explicit thresholding of CbCr colour channels is used and for minor motion detection morphological differences of multiple consecutive images has been used. MATLAB ® is used for processing. Relatively small part of exposed human body in the frame of an image is sufficient for detection. The approach is computationally efficient, potentially real time and robust. The combined technique gives improved performance compared to each individual technique. Location of the object (human) within the frame is also simultaneously identified.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectMechanical Engineeringen_US
dc.subjectSkin colour identificationen_US
dc.subjectTemporal differencingen_US
dc.subjectHuman presence detectionen_US
dc.subjectImage segmentationen_US
dc.subjectMotion detectionen_US
dc.titleHuman detection based on explicit skin colour space thresholding and minor motion detectionen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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